Approaches to Enhance Integration and Monitoring for Social-Ecological Systems

Abstract

Integration and monitoring are pressing conceptual and methodological challenges in social-ecological systems (SES) research. This paper follows a social learning process, called participatory self-observation, piloted by a group of action-researchers to improve SES integration and monitoring, using the Tsitsa River Catchment in South Africa as a case study. The participatory self-observation process reflected on lessons to enhance integration and integrated monitoring of biophysical, social, and social-ecological data in SES projects; for adaptive planning and management. Three focal points emerged for improving the challenges of SES integration: the need for participatory people-based processes, the importance of applied praxis tasks to catalyze meaningful integration, and the need for transdisciplinary teams to value non-biophysical research. Five focal areas emerged as major challenges for SES monitoring: the integration of qualitative and quantitative data, data overload, the scale of SES monitoring, the need to center SES monitoring around learning, and good working relationships to enable data flow. Recommendations to further develop integrated monitoring and management of SESs include (i) using people-based approaches that focus on applied work which includes rigorous collection of quantitative, biophysical data, (ii) identifying essential data needs through an essential variable approach, and (iii) combining quantitative monitoring with participatory people-based processes.

Keywords

• social-ecological systems integration
• integrated monitoring
• participatory self-observation
• social learning